Our upcoming release ArangoDB 2.8 is currently available as BETA , adding stunning new features to AQL and allowing to make use of array indexing. In our beta announcement we list all the details and explain how to use graph traversals in pure AQL. Please give it a try and help us finish the release sooner.

Also in the past two weeks, we’ve published outstanding cluster performance benchmarks, scaling ArangoDB to Gigabyte/s bandwidth on Mesosphere.

Starting with 8 database nodes, we scaled ArangoDB in a Mesos Cluster to 80 nodes – measuring throughput and latency for reads/writes and mixed loads. In the end, we wrote 1.1 Million documents per second – or about 1 GB of data per second. That’s amazing.

All test details and results are published in a cluster performance white paper that you can download today. Interesting for those with big cluster ambitions: Deployment of ArangoDB in a running Mesosphere DCOS environment is just a single command! Furthermore, ArangoDB is the only operational database that is fully certified for the Mesosphere DCOS.

ArangoDB Releases

The first BETA of ArangoDB 2.8 is available for download.

New features include:

  • Hash indexes and skiplist indexes can now optionally be defined for array values so they index individual array members.
  • added AQL keywords GRAPH, OUTBOUND, INBOUND and ANY for use in graph traversals
  • Several replication improvements
  • bind parameters in AQL editor
  • automatic deadlock detection for transactions

You can find a full list of changes in our change-log . Also available: ArangoDB 2.7.2 with replication improvements.

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